Traffic Data Visualization with Seaborn & Matplotlib

Overview

This project demonstrates traffic data analysis using Python with Seaborn and Matplotlib visualizations.

Files

• notebooks/traffic_visualization.ipynb: Jupyter notebook with visualizations
• data/traffic_data.csv: Sample traffic data CSV

How to Run

1. Install dependencies: pip install pandas matplotlib seaborn
2. Open the notebook in Jupyter or Colab
3. Explore and modify the visualizations

Visuals Included

• Vehicle class distribution (bar chart)
• Speed distribution (histogram)
• ANPR status pie chart
• Time-series plot of passage counts